Lists (13)
Starred repositories
谷歌新书Agent设计模式(agentic design patterns)最佳中文版，持续优化。附：在线阅读、pdf和epub电子书下载。
OpenClaw exporter for sending agent, LLM, and tool tracing data to Langfuse via OpenTelemetry.
Claude Code 泄露源码 - 本地可运行版本，新增跨平台桌面端软件补齐Computer Use（附带核心模块解析）
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
An Open Source implementation of Notebook LM with more flexibility and features
一款轻量级、高度可定制的 Windows桌面和任务栏硬件性能监控工具，支持监测 CPU、GPU、内存、磁盘、网速、FPS 计数、插件扩展及内存清理。A lightweight, customizable hardware monitor for the Windows desktop & taskbar. Features CPU/GPU/RAM/Network monitoring, FP…
一键将 Markdown 和网页 AI 对话（ChatGPT/DeepSeek等）完美粘贴到 Word、WPS 和 Excel 的效率工具 | One-click paste Markdown and AI responses (ChatGPT/DeepSeek) into Word, WPS, and Excel perfectly.
Tab(ter)minal, a Cloud-Native terminal and ACP agent workspace for desktop, tablet, and phone.
PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Type hints → Web UI. Turn Python functions into web apps — standalone or mounted inside yours.
『ゼロから作る Deep Learning ❹』(O'Reilly Japan, 2022)
A Python library that helps data scientists to infer causation rather than observing correlation.
Repository of a data modeling and analysis tool based on Bayesian networks
List of papers, code and experiments using deep learning for time series forecasting
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
TradingAgents: Multi-Agents LLM Financial Trading Framework
The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-s…
Snap7 is an open source, 32/64 bit, multi-platform Ethernet communication suite for interfacing natively with Siemens S7 PLCs.
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing
Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
(ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)
This checklist is designed to help you systematically prepare and polish academic papers for top conferences and journals (e.g., ICML, NeurIPS, CVPR). It incorporates widely recommended best practi…
PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described by partial differential equations.
The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This work is developed by the Lab of Professor Feiping Nie (feip…